RCM Staffing Benchmarks: What High-Performing Revenue Cycle Teams Cost and Deliver
Compare your revenue cycle staffing costs and performance against practical benchmarks for cost, quality, offshore suitability and implementation readiness.
Healthcare revenue cycle leaders are under pressure from rising denial rates, persistent hiring challenges and higher operating costs. Yet many organizations still evaluate staffing economics using salary alone, overlooking benefits, recruiting, training, management overhead and attrition. This report gives CFOs and revenue cycle executives a practical way to assess the true cost and performance of their current model.
Using benchmarks drawn from Connext’s active healthcare client portfolio, the report compares fully loaded onshore and co-managed offshore costs by role and geography. It also examines clean claim rates, denial rates, days in AR, net collection rates and prior authorization performance; identifies which RCM functions are best suited for offshore delivery; and provides specialty-specific guidance for physician groups, behavioral health organizations, orthopedic practices and dental service organizations.
Readers will also receive a step-by-step framework for calculating cost-to-collect, modeling transition costs and building a CFO-ready business case. With denial values increasing and specialized RCM roles becoming harder to retain, organizations need a fact-based benchmark now – before staffing gaps become permanent margin erosion.
Download this whitepaper to:
Calculate the true fully loaded cost of RCM staff, including recruiting, training, management and attrition.
Benchmark clean claim rate, denial rate, days in AR, net collection rate and prior authorization performance.
Identify the RCM functions with the strongest offshore suitability, fastest ramp and lowest quality risk.
Compare specialty-specific benchmarks for physician groups, behavioral health, orthopedics and DSOs.
Build a CFO-ready savings model that accounts for transition costs and a conservative productivity ramp.